| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1366 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 610 | 2023 |
| Three-dimensional localization of ultracold atoms in an optical disordered potential F Jendrzejewski, A Bernard, K Mueller, P Cheinet, V Josse, M Piraud, ... Nature Physics 8 (5), 398-403, 2012 | 462 | 2012 |
| Machine learning analysis of whole mouse brain vasculature MI Todorov, JC Paetzold, O Schoppe, G Tetteh, S Shit, V Efremov, ... Nature methods 17 (4), 442-449, 2020 | 186 | 2020 |
| Knowledge-aided convolutional neural network for small organ segmentation Y Zhao, H Li, S Wan, A Sekuboyina, X Hu, G Tetteh, M Piraud, B Menze IEEE journal of biomedical and health informatics 23 (4), 1363-1373, 2019 | 177 | 2019 |
| Deepvesselnet: Vessel segmentation, centerline prediction, and bifurcation detection in 3-d angiographic volumes G Tetteh, V Efremov, ND Forkert, M Schneider, J Kirschke, B Weber, ... Frontiers in Neuroscience, 1285, 2020 | 163 | 2020 |
| Vortex and Meissner phases of strongly interacting bosons on a two-leg ladder M Piraud, F Heidrich-Meisner, IP McCulloch, S Greschner, T Vekua, ... Physical Review B 91 (14), 140406, 2015 | 126 | 2015 |
| Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ... Contrast media & molecular imaging 2018, 2018 | 116 | 2018 |
| Spontaneous increase of magnetic flux and chiral-current reversal in bosonic ladders: Swimming against the tide S Greschner, M Piraud, F Heidrich-Meisner, IP McCulloch, U Schollwöck, ... Physical review letters 115 (19), 190402, 2015 | 92 | 2015 |
| Symmetry-broken states in a system of interacting bosons on a two-leg ladder with a uniform Abelian gauge field S Greschner, M Piraud, F Heidrich-Meisner, IP McCulloch, U Schollwöck, ... Physical Review A 94 (6), 063628, 2016 | 75 | 2016 |
| Precursor of the Laughlin state of hard-core bosons on a two-leg ladder A Petrescu, M Piraud, G Roux, IP McCulloch, K Le Hur Physical Review B 96 (1), 014524, 2017 | 58 | 2017 |
| Localization of a matter wave packet in a disordered potential M Piraud, P Lugan, P Bouyer, A Aspect, L Sanchez-Palencia Physical Review A 83 (3), 031603, 2011 | 57 | 2011 |
| Multi-resonant absorption in ultra-thin silicon solar cells with metallic nanowires I Massiot, C Colin, C Sauvan, P Lalanne, PR i Cabarrocas, JL Pelouard, ... Optics Express 21 (103), A372-A381, 2013 | 54 | 2013 |
| Anderson localization of matter waves in tailored disordered potentials M Piraud, A Aspect, L Sanchez-Palencia Physical Review A 85 (6), 063611, 2012 | 50 | 2012 |
| Quantum magnetism of bosons with synthetic gauge fields in one-dimensional optical lattices: A density-matrix renormalization-group study M Piraud, Z Cai, IP McCulloch, U Schollwöck Physical Review A 89 (6), 063618, 2014 | 48 | 2014 |
| Matter wave transport and Anderson localization in anisotropic three-dimensional disorder M Piraud, L Pezzé, L Sanchez-Palencia Europhysics Letters 99 (5), 50003, 2012 | 46 | 2012 |
| Quantum transport of atomic matter waves in anisotropic two-dimensional and three-dimensional disorder M Piraud, L Pezzé, L Sanchez-Palencia New Journal of Physics 15 (7), 075007, 2013 | 45 | 2013 |
| Strongly interacting bosons on a three-leg ladder in the presence of a homogeneous flux F Kolley, M Piraud, IP McCulloch, U Schollwöck, F Heidrich-Meisner New Journal of Physics 17 (9), 092001, 2015 | 37 | 2015 |
| Tailoring Anderson localization by disorder correlations in 1D speckle potentials M Piraud, L Sanchez-Palencia The European Physical Journal Special Topics 217 (1), 91-102, 2013 | 25 | 2013 |
| Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function X Hu, H Li, Y Zhao, C Dong, BH Menze, M Piraud Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 21 | 2019 |
